Evidence map›Paper›PMID 36556169›Full record

ArticleJournal of personalized medicine2022

Diagnostic Accuracy of Methods for Detection of Antibodies against Type I Interferons in Patients with Endocrine Disorders.

Nurana Nuralieva, Marina Yukina, Leila Sozaeva, Maxim Donnikov, Liudmila Kovalenko, Ekaterina Troshina, Elizaveta Orlova, Dmitry Gryadunov, Elena Savvateeva, Ivan Dedov

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Nurana NuralievaEndocrinology Research Centre, Ministry of Health of Russia, 117036 Moscow, Russia.ORCID 0000-0001-6876-3336
Marina YukinaEndocrinology Research Centre, Ministry of Health of Russia, 117036 Moscow, Russia.ORCID 0000-0002-8771-8300
Leila SozaevaEndocrinology Research Centre, Ministry of Health of Russia, 117036 Moscow, Russia.
Maxim DonnikovMedical Institute, Surgut State University, 628416 Surgut, Russia.ORCID 0000-0003-0120-4163
Liudmila KovalenkoMedical Institute, Surgut State University, 628416 Surgut, Russia.
Ekaterina TroshinaEndocrinology Research Centre, Ministry of Health of Russia, 117036 Moscow, Russia.
Elizaveta OrlovaEndocrinology Research Centre, Ministry of Health of Russia, 117036 Moscow, Russia.
Dmitry GryadunovCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0003-3183-318X
Elena SavvateevaCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0003-3091-8245
Ivan DedovEndocrinology Research Centre, Ministry of Health of Russia, 117036 Moscow, Russia.
Ministry of Health of the Russian Federation · RUEngelhardt Institute of Molecular Biology · RUSurgut State University · RU

Funding

Foundation for Scientific and Technological Development of Yugra 2022-05-01/2022Ministry of Science and Higher Education of the Russian Federation 075-15-2019-1660
6 · The paper itself

Abstract

Autoantibodies against type 1 interferons (IFN-I) are a highly specific marker for type 1 autoimmune polyglandular syndrome (APS-1). Moreover, determination of antibodies to omega-interferon (IFN-ω) and alpha2-interferon (IFN-α2) allows a short-term diagnosis in patients with isolated and atypical forms of APS-1. In this study, a comparison of three different methods, namely multiplex microarray-based, cell-based and enzyme-linked immunosorbent assays for detection of antibodies against omega-interferon and alpha2-interferon, was carried out. A total of 206 serum samples from adult patients with APS-1, APS-2, isolated autoimmune endocrine pathologies or non-autoimmune endocrine disorders, and healthy individuals were analyzed. In the APS-1 patient cohort (

Indexed as

autoantibodiescell-based autoantibody assayELISAinterferon-α2interferon-ωmultiplex assayprotein microarraytype I interferon

Identifiers

PMID36556169
PMCPMC9783777
OpenAlexW4309845399

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.